Summarize Workflow-tool fleet runs from the Agent Monitor — these fleets emit no hooks and are ingested from on-disk run journals. List recent runs with status and agents-per-run, then drill into a single run's per-agent detail. Reconciles against the live run-state endpoints. Use when reviewing Workflow() fleets rather than hook-instrumented interactive sessions.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Summarize Workflow-tool (Workflow()) fleet runs and drill into one run's agents.
The user provides: $ARGUMENTS
latest → drill into the most recent run.These fleets emit no hooks; the dashboard ingests them from on-disk Workflow-tool run journals, so this data is independent of the hook event stream.
| Endpoint | Returns |
|---|---|
GET /api/workflows/runs | List of ingested fleet run journals: run id, status, agent count, timing |
GET /api/workflows/runs/{runId} | One run in detail: per-agent status, timing, type, and outputs |
GET /api/run | Live run state across the fleet (current/active runs) |
GET /api/run/{id} | Live state for one run, to reconcile against the journal |
| Run ID | Status | Agents | Started | Duration |
|---|---|---|---|---|
Sort most recent first. Add a one-line status mix below (e.g. 8 runs: 5 completed, 2 running, 1 error). |
latest is given)From GET /api/workflows/runs/{runId}, reconciled with GET /api/run/{id}:
| Agent | Type | Status | Duration | Notes |
|---|
Completion rate (completed / total agents), any stalled or errored agents, and whether the journal and the live run-state endpoint agree (flag drift if they do not).
3m 04s).npm start from the repo root.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Inspect fired CCAM alerts and manage alert rules for token thresholds, event patterns, inactivity, and status duration. Use when acknowledging alerts, creating or editing a rule, checking cooldowns, or connecting alert rules to webhook targets.
日本語の概要は準備中です。原文の説明を表示しています。
Identify anomalous sessions using Agent Monitor data — cost outliers from the pricing engine, token anomalies (cache miss spikes, compaction baseline surges), unusual event type ratios (PreToolUse/PostToolUse gaps, APIError clusters), behavioral deviations from workflow intelligence (complexity score outliers, error propagation anomalies), and sessions with abnormal metadata (extreme turn_count, high thinking_blocks, zero turn_duration).
日本語の概要は準備中です。原文の説明を表示しています。
Produce a detailed report on APIError events from Agent Monitor data — counts over time, which sessions and models are affected, and the likely root cause (rate limits, overload/529, or context-window pressure) inferred from each event's summary and data payload. Use when API errors spike or when you need to explain why requests are failing.
日本語の概要は準備中です。原文の説明を表示しています。
Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric lands as a percentile of the population. Tells you whether a session was normal, cheap, or an outlier. Use when judging whether a session was typical or out of band.
日本語の概要は準備中です。原文の説明を表示しています。
Define a spend budget for Claude Code and, optionally, create a cost alert rule that fires when usage crosses the limit, via POST /api/alerts/rules on the Agent Monitor dashboard. Reads current spend from /api/pricing/cost to size the budget sensibly and explains every rule field before writing. Use when setting a spend limit or wiring up a budget guardrail.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (total_cache_read / (total_cache_read + total_input)), cache_write vs cache_read reuse, cache-read vs cache-write spend, and the sessions with the poorest reuse. Pulls token totals from /api/analytics, per-session detail from /api/sessions, and dollar splits from /api/pricing/cost. Use when diagnosing cache spend or deciding whether prompt caching is paying off.
日本語の概要は準備中です。原文の説明を表示しています。